JUSThink Project

The JUSThink project aims is to improve the computational thinking skills of children, by exercising algorithmic reasoning with and through graphs, where graphs are posed as a way to represent, reason with and solve a problem. It targets at fostering children’s understanding of abstract graphs through a collaborative problem-solving task mediated by a humanoid robot (QTrobot). JUSThink also serves as a platform to develop and evaluate the robot’s artificial intelligence in terms of understanding the behaviors of children including their actions on the platform, as well as their speech activity, etc.

Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?

U. Norman; T. Dinkar; B. Bruno; C. Clavel 

2021-04-09

p. 41.

10.5281/zenodo.4627104.

Mutual Modelling Ability for a Humanoid Robot: How can it improve my learning as we solve a problem together?

U. Norman; B. Bruno; P. Dillenbourg 

2021-03-12

Robots for Learning Workshop in 16th annual IEEE/ACM Conference on Human-Robot Interaction (HRI 2021), Virtual Conference, March 9-11, 2021.

Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

J. Nasir; A. Kothiyal; B. Bruno; P. Dillenbourg 

International Journal of Computer-Supported Collaborative Learning

2021

A Social Robot That Looks For Productive Engagement

J. Nasir; B. Bruno; P. Dillenbourg 

2021

Robots for Learning workshop at 16th annual ACM/IEEE International Conference on Human-Robot Interaction, Online conference, March 9-11, 2021.

What if Social Robots look for Productive Engagement?

J. Nasir; B. Bruno; M. Chetouani; P. Dillenbourg 

International Journal of Social Robotics

2021

DOI : 10.1007/s12369-021-00766-w

When Positive Perception of the Robot Has No Effect on Learning

J. Nasir; U. Norman; B. Bruno; P. Dillenbourg 

2020 29Th Ieee International Conference On Robot And Human Interactive Communication (Ro-Man)

2020-08-31

29th IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN), Virtual Conference, Aug 31 – Sept 4, 2020.

p. 313-320

DOI : 10.1109/RO-MAN47096.2020.9223343

Engagement in Human-Agent Interaction: An Overview

C. Oertel; G. Castellano; M. Chetouani; J. Nasir; M. Obaid et al. 

Frontiers In Robotics And Ai

2020-08-04

Vol. 7 , p. 92.

DOI : 10.3389/frobt.2020.00092

Is There ‘ONE way’ of Learning? A Data-driven Approach

J. Nasir; B. Bruno; P. Dillenbourg 

2020

22nd ACM International Conference on Multimodal Interaction, Virtual event, Netherlands, October 25-29, 2020.

You Tell, I Do, and We Swap until we Connect All the Gold Mines!

J. Nasir; U. Norman; B. Bruno; P. Dillenbourg 

ERCIM News

2020-01-01

Vol. 2020 , num. 120, p. 22-23.

Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

J. Nasir; U. Norman; W. Johal; J. K. Olsen; S. Shahmoradi et al. 

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

2019-10-14

IEEE RoMan 2019 – The 28th IEEE International Conference on Robot & Human Interactive Communication, New Delhi, India, October 14-18, 2019.

DOI : 10.1109/RO-MAN46459.2019.8956465

Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities

S. Shahmoradi; J. K. Olsen; S. Haklev; W. Johal; U. Norman et al. 

Transforming Learning with Meaningful Technologies

2019-09-09

p. 640-644

DOI : 10.1007/978-3-030-29736-7_57

Applying IDC theory to education in the Alps region: A response to Chan et al.’s contribution

P. Dillenbourg; K. G. Kim; J. Nasir; S. T. Yeo; J. K. Olsen 

Research and Practice in Technology Enhanced Learning

2019

Vol. 14 , p. 17.

DOI : 10.1186/s41039-019-0111-6

Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

L. El-Hamamsy; W. Johal; T. L. C. Asselborn; J. Nasir; P. Dillenbourg 

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

2019

The 28th IEEE International Conference on Robot & Human Interactive Communication (RoMan 2019), New Delhi, India, October 14 – 18, 2019.

DOI : 10.1109/RO-MAN46459.2019.8956358

Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 765955.